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AZKAIT en Guadalajara busca un Java Developer/Support Engineer con al menos 3 años en Java/J2EE (Spring/Spring Boot) y experiencia en Kubernetes y Docker. Se valora conocimiento en Release Management, RCA en producción…
AZKAIT es una empresa mexicana que busca y conecta el mejor talento IT con empresas Latinoamericanas y de Estados Unidos. Estamos en la búsqueda de tu talento como Java Developer/ Support Engineer. Inglés…
Platform/DevOps engineer designing and maintaining AWS serverless infrastructure for AI solutions, including LLM APIs and observability, with a focus on performance, scalability and security. 100% remote, full-time contractor (honorarios) role at an AI-first IT consulting firm.
100% remote Platform Engineer / DevOps role at a Mexican IT staffing firm, building and operating AWS serverless infrastructure (Lambda, Step Functions, EventBridge, SQS, API Gateway) for AI workloads in production, including LLM APIs, vector databases, and observability tooling.
AZKAIT es una empresa Mexicana que busca y conecta el mejor talento IT con empresas Latinoamericanas y de Estados Unidos. Estamos en la búsqueda de tu talento como Senior Software Engineer - AI Ingeniería en Sistemas,…
Develops backend services in Java with REST APIs plus React frontend work for a global client's marketing automation platform, while supporting AWS infrastructure, data pipelines, Salesforce Marketing Cloud, and CI/CD. Fully remote from Mexico on an agile team with global collaboration.
AZKAIT is hiring a Lead Data Engineer for its data team in Mexico City on a hybrid schedule (3 days office / 2 days remote), working 9:00-18:00 CST. The role requires 5+ years in data engineering with strong Databricks, Airflow, dbt, Python, SQL, and AWS skills plus advanced English.
AZKA IT Consulting, a Mexican IT staffing firm, is hiring a Lead Data Engineer for a hybrid role (3 days on-site) tied to a client in Mexico City. The role centers on building and leading data platforms and pipelines using Databricks, Apache Airflow, dbt, Python, SQL, and AWS, requiring 5+ years of data engineering experience and advanced English.
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